ERP Systems & Business Process Management PT
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Internet of Things (elective)*

level of course unit

Master`s course

Learning outcomes of course unit

The graduate, the student:
* Knows basic IOT architectures
* Knows methods of data generation
* Knows basics of data transmission
* Knows options of data storage
* Knows forms of data visualization
* Understands challenges of data security

prerequisites and co-requisites

none

course contents

Introduction
* IoT architecture (e.g. reference models)
* Requirements for IOT systems
* IOT data transmission protocols
* Use of IOT in an industrial context (examples)
* Basics of sensor technology
* Basics of embedded systems

Implementation
* Procedure for implementing IOT
* Prototypical implementation of IOT
* Selection of sensors
* Collection, visualization and evaluation of data
* Implementation challenges

recommended or required reading

Perry L.; Internet of Things for Architects: Architecting IoT solutions by implementing sensors, communication infrastructure, edge computing, analytics, and security; Birmingham; 2018
Sinclair B.; IoT Inc: How Your Company Can Use the Internet of Things to Win in the Outcome Economy; 2017
Thomas O., Nüttgens M., Fellmann M. (Herausgeber); Smart Service Engineering: Konzepte und Anwendungsszenarien für die digitale Transformation; Wiesbaden; 2017

assessment methods and criteria

Written exam

language of instruction

German

number of ECTS credits allocated

4

eLearning quota in percent

15

course-hours-per-week (chw)

2

planned learning activities and teaching methods

Lecture, individual work with software, group work, presentation and discussion of tasks

semester/trimester when the course unit is delivered

3

name of lecturer(s)

Prof. (FH) DI Dr. Martin Adam

course unit code

WPF.3

type of course unit

integrated lecture

mode of delivery

Compulsory

work placement(s)

none